The popularity of artificial neural networks in the field of machine learning has increased significantly recently. This is mainly due to new successful learning approaches and neural network architectures, as well as the availability of massive parallel computing capabilities (graphics card chips). Deep neural network architectures have demonstrated the ability to mimic people in various tasks (natural language processing, scene description, or game play). Research of new architectures and neural network training approaches still brings challenges and opportunities to solve problems that people can handle better than machines (e.g. natural language processing).

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